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feat: add length->period kwargs alias across all 168 indicator functions for pandas-ta compat

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Miha Kralj
2026-03-02 10:00:29 -08:00
parent ae7207c3d8
commit 18694e337e
16 changed files with 211 additions and 168 deletions
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python/quantalib/numerics.py
+10 -10
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@@ -52,7 +52,7 @@ def fdist(close: object, d1: int = 1, d2: int = 1, period: int = 14, offset: int
"""F-Distribution."""
d1 = int(d1)
d2 = int(d2)
period = int(period)
period = int(kwargs.get("length", period))
offset = int(offset)
src, idx = _arr(close)
n = len(src)
@@ -78,7 +78,7 @@ def gammadist(close: object, alpha: float = 2.0, beta: float = 1.0, period: int
"""Gamma Distribution."""
alpha = float(alpha)
beta = float(beta)
period = int(period)
period = int(kwargs.get("length", period))
offset = int(offset)
src, idx = _arr(close)
n = len(src)
@@ -89,7 +89,7 @@ def gammadist(close: object, alpha: float = 2.0, beta: float = 1.0, period: int
def highest(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
"""Highest Value."""
period = int(period)
period = int(kwargs.get("length", period))
offset = int(offset)
src, idx = _arr(close)
n = len(src)
@@ -136,7 +136,7 @@ def lognormdist(close: object, mu: float = 0.0, sigma: float = 1.0, period: int
"""Log-Normal Distribution."""
mu = float(mu)
sigma = float(sigma)
period = int(period)
period = int(kwargs.get("length", period))
offset = int(offset)
src, idx = _arr(close)
n = len(src)
@@ -157,7 +157,7 @@ def logtrans(close: object, offset: int = 0, **kwargs) -> object:
def lowest(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
"""Lowest Value."""
period = int(period)
period = int(kwargs.get("length", period))
offset = int(offset)
src, idx = _arr(close)
n = len(src)
@@ -168,7 +168,7 @@ def lowest(close: object, period: int = 14, offset: int = 0, **kwargs) -> object
def normalize(close: object, period: int = 14, offset: int = 0, **kwargs) -> object:
"""Normalization."""
period = int(period)
period = int(kwargs.get("length", period))
offset = int(offset)
src, idx = _arr(close)
n = len(src)
@@ -181,7 +181,7 @@ def normdist(close: object, mu: float = 0.0, sigma: float = 1.0, period: int = 1
"""Normal Distribution."""
mu = float(mu)
sigma = float(sigma)
period = int(period)
period = int(kwargs.get("length", period))
offset = int(offset)
src, idx = _arr(close)
n = len(src)
@@ -193,7 +193,7 @@ def normdist(close: object, mu: float = 0.0, sigma: float = 1.0, period: int = 1
def poissondist(close: object, lam: float = 1.0, period: int = 14, threshold: int = 5, offset: int = 0, **kwargs) -> object:
"""Poisson Distribution."""
lam = float(lam)
period = int(period)
period = int(kwargs.get("length", period))
threshold = int(threshold)
offset = int(offset)
src, idx = _arr(close)
@@ -248,7 +248,7 @@ def sqrttrans(close: object, offset: int = 0, **kwargs) -> object:
def tdist(close: object, nu: int = 10, period: int = 14, offset: int = 0, **kwargs) -> object:
"""Student's t-Distribution."""
nu = int(nu)
period = int(period)
period = int(kwargs.get("length", period))
offset = int(offset)
src, idx = _arr(close)
n = len(src)
@@ -261,7 +261,7 @@ def weibulldist(close: object, k: float = 1.5, lam: float = 1.0, period: int = 1
"""Weibull Distribution."""
k = float(k)
lam = float(lam)
period = int(period)
period = int(kwargs.get("length", period))
offset = int(offset)
src, idx = _arr(close)
n = len(src)